José Hernández-Orallo; Flach, Peter; Ferri Ramírez, César(Microtome Publishing, 2012)
[EN] Many performance metrics have been introduced in the literature for the evaluation of classification
performance, each of them with different origins and areas of application. These metrics include
accuracy, unweighted ...
We describe a systematic approach called reframing, defined as the process of preparing a machine learning model (e.g., a classifier) to perform well over a range of operating contexts. One way to achieve this is by ...
ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ...